Ebrahim Al-Safadi

Visiting B.S. Student, Information Science Lab

machine learning multi-modal transformer models deep learning approaches optimization program synthesis Applications of compressive sensing for PAPR reduction in OFDM

Internship at King Abdullah University of Science and Technology (KAUST).

Biography

Current Position

• Sr. Data Scientist, Cambia Health Solutions, Portland, Oregon Area, US.
• PhD Candidate, OHSU | Oregon Health & Science University.

Research Interests

Machine learning.
Multi-modal transformer models.
Deep learning approaches.
Optimization.
Program synthesis.
Applications of compressive sensing for PAPR reduction in OFDM.

Education

Master of Engineering (MEng): Telecommunications, University of Southern California, United States, 2014

Master of Engineering (MEng): Telecommunications, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, 2010

Selected Publications

Adhikary, A. ., Safadi, E. A., Samimi, M. K., Wang, R. ., Caire, G. ., Rappaport, T. S., & Molisch, A. F. (2014). Joint Spatial Division and Multiplexing for mm-Wave Channels.
Owodunni, D. S., Ali, A. ., Quadeer, A. A., Al-Safadi, E. B., Hammi, O. ., & Al-Naffouri, T. Y. (2014). Compressed sensing techniques for receiver based post-compensation of transmitter’s nonlinear distortions in OFDM systems.
Al-Safadi, E. B., & Al-Naffouri, T. Y. (2012). Peak Reduction and Clipping Mitigation in OFDM by Augmented Compressive Sensing.
Al-Safadi, E. B., & Al-Naffouri, T. Y. (2012). Pilotless recovery of clipped OFDM signals by compressive sensing over reliable data carriers. 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Presented at the. Cesme, Turkey: IEEE.
Al-Safadi, E. B., & Al-Naffouri, T. Y. (2010). On Reducing the Complexity of Tone-Reservation Based PAPR Reduction Schemes by Compressive Sensing. GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. Presented at the. Honolulu, HI, USA: IEEE.